In the months since, I continued my real-life work as a Data Scientist while keeping up-to-date on the latest LLMs popping up on OpenRouter. In August, Google announced the release of their Nano Banana generative image AI with a corresponding API that’s difficult to use, so I open-sourced the gemimg Python package that serves as an API wrapper. It’s not a thrilling project: there’s little room or need for creative implementation and my satisfaction with it was the net present value with what it enabled rather than writing the tool itself. Therefore as an experiment, I plopped the feature-complete code into various up-and-coming LLMs on OpenRouter and prompted the models to identify and fix any issues with the Python code: if it failed, it’s a good test for the current capabilities of LLMs, if it succeeded, then it’s a software quality increase for potential users of the package and I have no moral objection to it. The LLMs actually were helpful: in addition to adding good function docstrings and type hints, it identified more Pythonic implementations of various code blocks.
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Филолог заявил о массовой отмене обращения на «вы» с большой буквы09:36，详情可参考爱思助手下载最新版本
这对企业意味着什么？过去，企业可以默认没写就算覆盖，至少在谈判桌上还有争议空间；现在，行业正在把争议空间主动收拢。Barron’s报道显示，越来越多商业险承保方开始在责任险、董责等条款中加入更广泛的AI排除，原因不是他们不理解AI，而是他们理解得太清楚：一旦AI的错误以同一底座、同一模型接口、同一供应链形式被大规模复用，保险面对的就不再是一个事故，而可能是同源事故的成片发生。